• A type of machine learning that mimics the structure of the human brain

• A way to increase computer processing speed

• An algorithm for sorting internet search results

• A type of language translation tool

• It requires manual coding for every step

• It can find patterns and make predictions based on data

• It requires no data at all

• It only works for computer graphics

• To enable machines to understand and interpret human language

• To improve the speed of data processing

• To create visual representations of data

• To enhance audio quality in recordings

• Data is irrelevant to machine learning

• More data generally leads to better model performance

• Data only needs to be collected once

• Data quality does not affect outcomes

• By promoting increased paper usage

• By optimizing energy usage, monitoring pollution, and aiding in climate research

• By increasing plastic production

• By making transportation more expensive

• A) By increasing transaction fees

• B) By analyzing vast amounts of data to predict and mitigate financial risks

• C) By restricting access to online banking

By controlling stock prices

• Facial Recognition

• Internet of Things

• AI-driven Intrusion Detection Systems

• Quantum Computing

• Higher resolution screens

• Faster data transfer speeds and lower latency, ideal for real-time AI applications

• Increased memory for smartphones

• Longer battery life

• To create identical social media accounts

To build virtual replicas of physical objects or systems for analysis and simulation

• To store physical documents

• To duplicate phone screens